This is a Our Company Presentation - Our Businesss company Profile developed by Fresh Spar Technologies Hashtags: Fresh Spar Technologies, Fresh Spar , Manojkumar C

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Enable 2022 offers a comprehensive solution for making PowerBuilder applications multilingual, revolutionizing the way applications are localized. With advanced features like dynamic language switching and support for all languages, Enable Development is a leader in PowerBuilder outsourcing and mana

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Roboticists initially aimed for precise world modeling leading to perfect path planning and control concepts. However, imperfections in world models, control, and sensing called for a shift towards probabilistic methods in robot localization. This evolution from reactive to probabilistic robotics ha

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This research by the Tsinghua SUN Group introduces BIFROST, a novel approach that reinvents WiFi signals based on dispersion effect to enable precise indoor localization. The study addresses the challenge of limited line-of-sight (LoS) access points in indoor environments through Frequency and Spati

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Fixity technologies is one of the top staffing solutions providers. We provide staffing solutions that best fit your organization's requirements. \nIn today's dynamic business landscape, finding the right talent is crucial for organizations to thrive and stay competitive. Fixity Technologies emerges

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Explore the evolution of technologies through different revolutions - from the agricultural revolution to the emerging technologies of the future. Learn about the profound changes in economic relationships and technological conditions that have shaped human society. Discover the role of data, progra

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Greenhouse Gas Removal (GGR) technologies, such as Bioenergy with Carbon Capture and Storage (BECCS) and Direct Air Capture and Carbon Storage, present complex challenges and uncertainties. While nature-based solutions like forest restoration offer potential win-win scenarios, the risks associated w

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SLAM (Simultaneous Localization and Mapping) is a concept crucial for robots to construct and update maps while tracking their own locations. It is likened to a chicken and egg problem, where building a map and localizing the robot occur concurrently. Hardware, landmarks, and steps involved in SLAM

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Turtle.bot is a popular product for home service robots, utilizing SLAM and navigation technologies. It features gyro, Kinect sensors, Lidar, and a laptop for mapping. The robot localizes and navigates using ROS in Raspberry Pi connected with MATLAB. ROS (Robot Operating System) is a set of software

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Dental radiographs, though two-dimensional, can be limited in depicting depth and bucco-lingual relationships. Localization techniques like the right angle and tube-shift methods are used to accurately locate objects such as foreign bodies, impacted or unerupted teeth, and salivary stones within the

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Positron Emission Tomography (PET) is a medical imaging technique focusing on metabolic differences in the body. By using positron-emitting radioisotopes, PET can detect how molecules are taken up by healthy and cancerous cells, aiding in accurate tumor localization with lower doses. The evolution o

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The research presents PhantomPhantom, a system for protecting location privacy by leveraging physical layer cooperation. It explores the challenges of adversary localization systems and proposes solutions such as transmission power and frequency variations. The concept of creating ghost locations an

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The Microsoft Indoor Localization Competition 2018 in Porto brought together 34 teams to evaluate and compare technologies for indoor localization. The competition aimed to assess systems in 2D and 3D categories without the need for infrastructure deployment. Teams utilized LiDAR technology and were

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This presentation discusses a real-time indoor positioning system for subway stations using cell phones. It covers server-side tracking of users' phones, data collection for trajectory analysis, client-side navigation services in GPS-denied environments, and localization technologies such as radio f

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Demetris Zeinalipour's groundbreaking work focuses on revolutionizing indoor navigation with the Anyplace Internet-based Indoor Navigation (IIN) Service. With a strong emphasis on modern localization technologies and a wide range of indoor applications, this service aims to enhance user experiences

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Explore the importance of data mapping for SDGs, utilizing the ADAPT tool to enhance localization and improve data planning. This tool assists in responding to global calls, assessing statistical capacity, and enhancing data system efficiency. Learn how ADAPT aids in identifying gaps, mapping data d

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The discussion revolves around the trend of aligning cyberspace with national borders, emphasizing national security concerns in the context of internet governance in Russia. It covers topics such as reframing cybersecurity as a national security issue, militarization of cyberspace, territorializati

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The Fault Localization (Pinpoint) project proposal aims to pinpoint the exact source of failures within a cloud NFV networking environment by utilizing a set of algorithms and APIs. The proposal includes an overview of the fault localization process, an example scenario highlighting the need for fau

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Utilizing a novel self-learning semi-supervised technique with k-fold iterative training for cardiomegaly localization from chest X-ray images showed significant improvement in validation loss and labeled dataset size. The model, based on a VGG-16 backbone, outperformed traditional methods, resultin

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This module on Knowledge Technologies at Jožef Stefan International Postgraduate School explores various aspects of Language Technologies, including Computational Linguistics, Natural Language Processing, and Human Language Technologies. The course covers computer processing of natural language, ap

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Delve into the realm of wireless technologies, mobile computing, and mobile commerce with a focus on the advantages and disadvantages of wireless transmission media, business applications of short-range to long-range networks, m-commerce benefits for businesses, technologies in pervasive computing,

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This course covers the management of micro-level clean energy projects, emphasizing the social, economic, and technical impacts of selected clean energy technologies. It discusses project organization, tools, project life cycle, financial analysis, barriers, capacity building, and more. It delves in

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Explore the intricate world of neurology with a focus on brain localization, neuroaxis structures, and the distinctions between upper and lower motor neuron signs. Delve into the functions of brain lobes, brain stem anatomy, and spinal cord functions. Discover how upper motor neuron signs indicate l

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Delve into the world of localization and internationalization in ASP.NET Core, learning about the processes of customization for different languages and regions, key concepts like culture and locale, and practical examples of implementing i18n services and injecting localization support into control

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This research delves into potential biases affecting bug localization studies in software development. It explores misclassification of bug reports, pre-localized reports, and issues with ground truth files, shedding light on the challenges in accurately predicting and localizing software bugs.

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Bug localization is a crucial task in software maintenance. This paper introduces a novel approach using a convolutional neural network to learn unified features from bug reports in natural language and source code in programming language, capturing both lexicon and program structure semantics.

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The SLAM problem, a challenging task in mobile robotics, involves creating maps and determining a robot's pose in an unknown environment. Over time, researchers have made significant progress in solving this problem, dating back to the initial probabilistic methods for localization and mapping in 19

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Dive into Simultaneous Localization and Mapping (SLAM) technology used in autonomous race cars. Explore theoretical overviews, implementation methods like Extended Kalman Filter SLAM and Particle Filter SLAM, terms like scan matching and loop-closing, and popular implementations such as GMapping and

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Robot localization in a hallway is achieved through Kalman-like filters that use sensor data to estimate the robot's position based on a map of the environment. This process involves incorporating measurements, updating state estimates, and relying on Gaussian assumptions for accuracy. The robot's u

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This content provides an overview of Internationalization (I18N), Globalization (G11N), and Localization (L10N) in ASP.NET MVC. It explains the processes involved in supporting different languages and regions, customizing applications, and the concepts of culture and locale.

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Delve into the realm of localization within mobile computing through two research threads, smartphone positioning systems, and enabling technology apps. Discover the sudden growth in the smartphone industry and the significance of location in applications, as envisioned by industry leaders. Uncover

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Location-based services are essential for navigation indoors, where GPS is not viable. Integrating Visible Light Communication (VLC) with LiDAR and sensor fusion technologies can enable accurate indoor positioning in 3D space. This submission explores the utilization of VLC as the primary technology

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Two space projects, ExoMars and Sample Fetch Rover, are compared based on their Visual Localization algorithms. The study focuses on the timing performance, ease of use, and consistency with previous results of the GR740 processor. Visual Odometry and challenges like motion blur and lighting differe

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This study explores the alignment between theory and practice in the context of Spectrum-Based Fault Localization (SBFL). It delves into the analysis of execution traces, assigning suspiciousness scores to program elements, comparing SBFL formulas like Tarantula and Ochiai, and introducing new formu

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Software bug localization techniques like Tarantula focus on finding likely buggy code fragments in a software system by analyzing test results, code coverage, bug history, and code dependencies. The lack of an interface layer in existing techniques leads to handcrafted heuristics, posing a persiste

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Various fault localization techniques in software debugging are discussed, including black-box models, spectrum evaluation, comparison of artificial and real faults, failure modes, and design considerations. The importance of effective fault localization and improving fault localization tools is hig

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The ATC Advanced Technologies Committee, led by Bert van Duijn, focuses on sharing image data for developing imaging technologies for seed quality testing. With members from 13 countries, the committee engages in various working groups exploring X-ray, molecular, and mathematical technologies. They

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The Abstract Semi-Supervised Temporal Action Localization (SS-TAL) framework aims to enhance the generalization capability of action detectors using large-scale unlabeled videos. Despite recent progress, a significant challenge persists due to noisy pseudo-labels hindering efficient learning from ab

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SonicSurface 2.0 presents a cutting-edge approach to interactive smart mirrors using sound-based localization technology. By eliminating the need for expensive touch surfaces, this innovation offers a cost-effective and flexible alternative for a range of applications from games to smart home setups

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Indoor localization algorithms play a crucial role in determining the position of objects in indoor environments. Various methods such as GPS, TOA, TDOA, AOA, RSSI, and fingerprinting are employed for accurate localization. These algorithms measure factors like signal travel time, angle of arrival,

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